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检索条件"主题词=Backpropagation Algorithms"
1893 条 记 录,以下是1711-1720 订阅
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Absolute stability and dissipativity of continuous time multilayer recurrent neural networks
Absolute stability and dissipativity of continuous time mult...
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IEEE International Symposium on Circuits and Systems (ISCAS)
作者: J.A.K. Suykens J. Vandewalle Department of Electrical Engineering ESAT-SISTA Katholieke Universiteit Leuven Leuven Belgium
In this paper we present a sufficient condition for global asymptotic stability of continuous time multilayer recurrent neural networks with two-hidden layers. The condition is based on a Lur'e-Postnikov Lyapunov ... 详细信息
来源: 评论
Hebbian learning with winner take all for spiking neural networks
Hebbian learning with winner take all for spiking neural net...
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International Joint Conference on Neural Networks (IJCNN)
作者: Ankur Gupta Lyle N. Long Department of Computer Science and Engineering Pennsylvania State University University Park PA USA Aerospace Engineering Bioengineering and Mathematics Pennsylvania State University University Park PA USA
Learning methods for spiking neural networks are not as well developed as the traditional rate based networks, which widely use the back-propagation learning algorithm. We propose and implement an efficient Hebbian le... 详细信息
来源: 评论
Multilayer recurrent neural networks [character recognition application example]
Multilayer recurrent neural networks [character recognition ...
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Midwest Symposium on Circuits and Systems (MWSCAS)
作者: H.K. Kwan Department of Electrical and Computer Engineering University of Windsor Windsor ONT Canada
In this paper, multilayer recurrent neural networks in the form of 3-layer bidirectional symmetrical and asymmetrical associative memories are presented. The networks possess the features of both a multilayer feedforw... 详细信息
来源: 评论
Hybrid speech recognition system with discriminative training applied for Romanian language
Hybrid speech recognition system with discriminative trainin...
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Mediterranean Electrotechnical Conference (MELECON)
作者: I. Gavat M. Zirra O. Cula Polytechnic University of Bucharest Bucharest Romania ADtech Advanced Technology Bucharest Romania Polytechnic University of Bucharest Romania
This paper describes a hybrid connectionist-statistical system consisting of a neural network integrated in a hidden Markov model (HMM). The neural network used is the multilayer perceptron (MLP) and that network is t... 详细信息
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Diagonal recurrent neural network based control using adaptive learning rates
Diagonal recurrent neural network based control using adapti...
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IEEE Conference on Decision and Control
作者: C.-C. Ku K.Y. Lee Department of Electrical and Computer Engineering Pennsylvania State University University Park PA USA
A method of choosing learning rates adaptively in controlling a dynamic system using diagonal recurrent neural networks is presented. The architecture of DRNN is a modified model of the fully connected recurrent neura... 详细信息
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Small business credit scoring: a comparison of logistic regression, neural network, and decision tree models
Small business credit scoring: a comparison of logistic regr...
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International Conference on Information Technology Interfaces
作者: M. Zekic-Susac N. Sarlija M. Bensic University of Josip Juraj Strossmayer in Osijek Osijek Croatia Department of Mathematics University of Josip Juraj Strossmayer in Osijek Osijek Croatia
The paper compares the models for small business credit scoring developed by logistic regression, neural networks, and CART decision trees on a Croatian bank dataset. The models obtained by all three methodologies wer... 详细信息
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A learning method of nonlinear mappings by neural networks with considering their derivatives
A learning method of nonlinear mappings by neural networks w...
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International Joint Conference on Neural Networks (IJCNN)
作者: Y. Kuroe Y. Nakai T. Mori Department of Electronics and Information Science Kyoto Institute of Technology Kyoto Japan
This paper discusses a learning method of neural networks for realizing nonlinear mappings with their smoothness on the networks. We proposed an efficient learning method such that neural networks represent not only i... 详细信息
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Grouping connected components using minimal path techniques. Application to reconstruction of vessels in 2D and 3D images
Grouping connected components using minimal path techniques....
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Conference on Computer Vision and Pattern Recognition (CVPR)
作者: L.D. Cohen T. Deschamps CEREMADE UMR CNRS 7534 Université de Paris IX Dauphine Paris France Medical Imaging Systems Group Philips Research France Suresnes France
We address the problem of finding a set of contour curves in a 2D or 3D image. We consider the problem of perceptual grouping and contour completion, where the data is an unstructured set of regions in the image. A ne... 详细信息
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Distributed learning and cooperative learning
Distributed learning and cooperative learning
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International Joint Conference on Neural Networks (IJCNN)
作者: Y. Tsukamoto A. Namatame Dept. of Comput. Sci. Nat. Defense Acad. Kanagawa Japan Department of Computer Science National Defense Academy Yokosuka Kanagawa Japan
The concept of modularization and coupling connectionist network modules is a promising way of building large-scale neural networks and improving the learning performance of these networks. On the other hand, the modu... 详细信息
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Neural networks in specification level software size estimation
Neural networks in specification level software size estimat...
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Annual Hawaii International Conference on System Sciences (HICSS)
作者: J. Hakkarainen P. Laamanen R. Rask Department of Computer Science University of Joensuu Finland
Presents a neural network approach to software size estimation. A multilayer feedforward network is trained using the backpropagation algorithm. The training and testing data consist of randomly generated structured a... 详细信息
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